Physical properties (stability, solubility, etc.), critical to the performance of pharmaceutical and functional materials, are known to strongly depend on the solid-state form and environmental factors, such as temperature and relative humidity. Boring stuff, right? Well, not anymore!
But here’s the thing – quantitatively measuring the free energy differences between crystalline forms is no piece of cake. Metastable crystal forms are hard to prepare and just when you think you’ve got them figured out, they decide to convert into more stable forms. Talk about being unreliable!
So, to mitigate the risks posed by these unstable beings, scientists have turned to computational modeling to understand and predict their behavior. Yes, that’s right, we’re talking about predicting the future here! Who needs crystal balls when you have computers, am I right?
Now, the problem is that there’s a major lack of reliable experimental benchmark data for accurately predicting solid-solid free energy differences. Scientists just haven’t been able to figure out how to make these crystal forms behave themselves and willingly disclose their secrets.
But fear not, for there is light at the end of this crystalline tunnel! Academia and industry experts have joined forces to create the first ever reliable experimental benchmark for solid-solid free energy differences. And guess what? They even used some fancy methods developed by the super-smart Prof. Alexandre Tkatchenko and his team of brainiacs at the University of Luxembourg.
But hold on, they didn’t stop there. Dr. Marcus Neumann and his team of researchers at Avant-garde Materials Simulation took things to a whole new level. They used high performance computing (HPC) to predict and explain data from not just one or two, but SEVEN pharmaceutical companies. Talk about taking a giant leap for mankind! Wait, wrong industry. But you get the point, right?
And here’s the kicker – these calculations were done without using any empirical input. That’s right, no need for fancy lab experiments or test tubes. Just pure computational magic! It’s like the Harry Potter of pharmaceutical research, except instead of battling evil wizards, they’re battling physical instability.
The potential implications of this groundbreaking work are mind-boggling. Who knows what other secrets the world of quantum mechanical calculations holds for the pharmaceutical industry? Maybe they’ll discover a spell to cure the common cold or a potion to make all side effects disappear! A girl can dream, right?
Prof. Tkatchenko, the mastermind behind these computational methods, is understandably thrilled. “I am thrilled to see how computational methods developed in my academic group have been quickly adopted to reliably predict the energetics of drug crystal forms in the pharmaceutical industry in a matter of years, breaking the traditional barrier between research and industrial innovation,” he says. Well, we’re thrilled too, Prof. Tkatchenko!
But here’s something that might surprise you. Dr. Marcus Neumann, the founder and CEO of Avant-garde Materials Simulation, gives credit to the “visionaries” among their customers for their success. Apparently, they’ve created an “industrial working environment with an academic touch” that promotes creativity based on core values like honesty, integrity, and team-spirit. Who knew the world of pharmaceutical research could be such a warm and fuzzy place?
And let’s not forget about Prof. Jens Kreisel, the Rector of the University of Luxembourg, who reminds us all that this is no small feat. “Building links between fundamental science, high performance computing, and major industry players in order to make a lasting impact for the future of health is no small feat,” he says. We couldn’t agree more, Prof. Kreisel.
So there you have it, folks. The world of pharmaceutical research is making leaps and bounds with its computational methods and fancy high performance computing. Who needs test tubes and lab coats when you have computers that can predict the future? It’s like magic, only with molecules and stuff. The future is here, and it’s looking bright!
Physical properties (stability, solubility, etc.), critical to the performance of pharmaceutical and functional materials, are known to strongly depend on the solid-state form and environmental factors, such as temperature and relative humidity. Boring stuff, right? Well, not anymore!
But here’s the thing – quantitatively measuring the free energy differences between crystalline forms is no piece of cake. Metastable crystal forms are hard to prepare and just when you think you’ve got them figured out, they decide to convert into more stable forms. Talk about being unreliable!
So, to mitigate the risks posed by these unstable beings, scientists have turned to computational modeling to understand and predict their behavior. Yes, that’s right, we’re talking about predicting the future here! Who needs crystal balls when you have computers, am I right?
Now, the problem is that there’s a major lack of reliable experimental benchmark data for accurately predicting solid-solid free energy differences. Scientists just haven’t been able to figure out how to make these crystal forms behave themselves and willingly disclose their secrets.
But fear not, for there is light at the end of this crystalline tunnel! Academia and industry experts have joined forces to create the first ever reliable experimental benchmark for solid-solid free energy differences. And guess what? They even used some fancy methods developed by the super-smart Prof. Alexandre Tkatchenko and his team of brainiacs at the University of Luxembourg.
But hold on, they didn’t stop there. Dr. Marcus Neumann and his team of researchers at Avant-garde Materials Simulation took things to a whole new level. They used high performance computing (HPC) to predict and explain data from not just one or two, but SEVEN pharmaceutical companies. Talk about taking a giant leap for mankind! Wait, wrong industry. But you get the point, right?
And here’s the kicker – these calculations were done without using any empirical input. That’s right, no need for fancy lab experiments or test tubes. Just pure computational magic! It’s like the Harry Potter of pharmaceutical research, except instead of battling evil wizards, they’re battling physical instability.
The potential implications of this groundbreaking work are mind-boggling. Who knows what other secrets the world of quantum mechanical calculations holds for the pharmaceutical industry? Maybe they’ll discover a spell to cure the common cold or a potion to make all side effects disappear! A girl can dream, right?
Prof. Tkatchenko, the mastermind behind these computational methods, is understandably thrilled. “I am thrilled to see how computational methods developed in my academic group have been quickly adopted to reliably predict the energetics of drug crystal forms in the pharmaceutical industry in a matter of years, breaking the traditional barrier between research and industrial innovation,” he says. Well, we’re thrilled too, Prof. Tkatchenko!
But here’s something that might surprise you. Dr. Marcus Neumann, the founder and CEO of Avant-garde Materials Simulation, gives credit to the “visionaries” among their customers for their success. Apparently, they’ve created an “industrial working environment with an academic touch” that promotes creativity based on core values like honesty, integrity, and team-spirit. Who knew the world of pharmaceutical research could be such a warm and fuzzy place?
And let’s not forget about Prof. Jens Kreisel, the Rector of the University of Luxembourg, who reminds us all that this is no small feat. “Building links between fundamental science, high performance computing, and major industry players in order to make a lasting impact for the future of health is no small feat,” he says. We couldn’t agree more, Prof. Kreisel.
So there you have it, folks. The world of pharmaceutical research is making leaps and bounds with its computational methods and fancy high performance computing. Who needs test tubes and lab coats when you have computers that can predict the future? It’s like magic, only with molecules and stuff. The future is here, and it’s looking bright!
Physical properties (stability, solubility, etc.), critical to the performance of pharmaceutical and functional materials, are known to strongly depend on the solid-state form and environmental factors, such as temperature and relative humidity. Boring stuff, right? Well, not anymore!
But here’s the thing – quantitatively measuring the free energy differences between crystalline forms is no piece of cake. Metastable crystal forms are hard to prepare and just when you think you’ve got them figured out, they decide to convert into more stable forms. Talk about being unreliable!
So, to mitigate the risks posed by these unstable beings, scientists have turned to computational modeling to understand and predict their behavior. Yes, that’s right, we’re talking about predicting the future here! Who needs crystal balls when you have computers, am I right?
Now, the problem is that there’s a major lack of reliable experimental benchmark data for accurately predicting solid-solid free energy differences. Scientists just haven’t been able to figure out how to make these crystal forms behave themselves and willingly disclose their secrets.
But fear not, for there is light at the end of this crystalline tunnel! Academia and industry experts have joined forces to create the first ever reliable experimental benchmark for solid-solid free energy differences. And guess what? They even used some fancy methods developed by the super-smart Prof. Alexandre Tkatchenko and his team of brainiacs at the University of Luxembourg.
But hold on, they didn’t stop there. Dr. Marcus Neumann and his team of researchers at Avant-garde Materials Simulation took things to a whole new level. They used high performance computing (HPC) to predict and explain data from not just one or two, but SEVEN pharmaceutical companies. Talk about taking a giant leap for mankind! Wait, wrong industry. But you get the point, right?
And here’s the kicker – these calculations were done without using any empirical input. That’s right, no need for fancy lab experiments or test tubes. Just pure computational magic! It’s like the Harry Potter of pharmaceutical research, except instead of battling evil wizards, they’re battling physical instability.
The potential implications of this groundbreaking work are mind-boggling. Who knows what other secrets the world of quantum mechanical calculations holds for the pharmaceutical industry? Maybe they’ll discover a spell to cure the common cold or a potion to make all side effects disappear! A girl can dream, right?
Prof. Tkatchenko, the mastermind behind these computational methods, is understandably thrilled. “I am thrilled to see how computational methods developed in my academic group have been quickly adopted to reliably predict the energetics of drug crystal forms in the pharmaceutical industry in a matter of years, breaking the traditional barrier between research and industrial innovation,” he says. Well, we’re thrilled too, Prof. Tkatchenko!
But here’s something that might surprise you. Dr. Marcus Neumann, the founder and CEO of Avant-garde Materials Simulation, gives credit to the “visionaries” among their customers for their success. Apparently, they’ve created an “industrial working environment with an academic touch” that promotes creativity based on core values like honesty, integrity, and team-spirit. Who knew the world of pharmaceutical research could be such a warm and fuzzy place?
And let’s not forget about Prof. Jens Kreisel, the Rector of the University of Luxembourg, who reminds us all that this is no small feat. “Building links between fundamental science, high performance computing, and major industry players in order to make a lasting impact for the future of health is no small feat,” he says. We couldn’t agree more, Prof. Kreisel.
So there you have it, folks. The world of pharmaceutical research is making leaps and bounds with its computational methods and fancy high performance computing. Who needs test tubes and lab coats when you have computers that can predict the future? It’s like magic, only with molecules and stuff. The future is here, and it’s looking bright!
Physical properties (stability, solubility, etc.), critical to the performance of pharmaceutical and functional materials, are known to strongly depend on the solid-state form and environmental factors, such as temperature and relative humidity. Boring stuff, right? Well, not anymore!
But here’s the thing – quantitatively measuring the free energy differences between crystalline forms is no piece of cake. Metastable crystal forms are hard to prepare and just when you think you’ve got them figured out, they decide to convert into more stable forms. Talk about being unreliable!
So, to mitigate the risks posed by these unstable beings, scientists have turned to computational modeling to understand and predict their behavior. Yes, that’s right, we’re talking about predicting the future here! Who needs crystal balls when you have computers, am I right?
Now, the problem is that there’s a major lack of reliable experimental benchmark data for accurately predicting solid-solid free energy differences. Scientists just haven’t been able to figure out how to make these crystal forms behave themselves and willingly disclose their secrets.
But fear not, for there is light at the end of this crystalline tunnel! Academia and industry experts have joined forces to create the first ever reliable experimental benchmark for solid-solid free energy differences. And guess what? They even used some fancy methods developed by the super-smart Prof. Alexandre Tkatchenko and his team of brainiacs at the University of Luxembourg.
But hold on, they didn’t stop there. Dr. Marcus Neumann and his team of researchers at Avant-garde Materials Simulation took things to a whole new level. They used high performance computing (HPC) to predict and explain data from not just one or two, but SEVEN pharmaceutical companies. Talk about taking a giant leap for mankind! Wait, wrong industry. But you get the point, right?
And here’s the kicker – these calculations were done without using any empirical input. That’s right, no need for fancy lab experiments or test tubes. Just pure computational magic! It’s like the Harry Potter of pharmaceutical research, except instead of battling evil wizards, they’re battling physical instability.
The potential implications of this groundbreaking work are mind-boggling. Who knows what other secrets the world of quantum mechanical calculations holds for the pharmaceutical industry? Maybe they’ll discover a spell to cure the common cold or a potion to make all side effects disappear! A girl can dream, right?
Prof. Tkatchenko, the mastermind behind these computational methods, is understandably thrilled. “I am thrilled to see how computational methods developed in my academic group have been quickly adopted to reliably predict the energetics of drug crystal forms in the pharmaceutical industry in a matter of years, breaking the traditional barrier between research and industrial innovation,” he says. Well, we’re thrilled too, Prof. Tkatchenko!
But here’s something that might surprise you. Dr. Marcus Neumann, the founder and CEO of Avant-garde Materials Simulation, gives credit to the “visionaries” among their customers for their success. Apparently, they’ve created an “industrial working environment with an academic touch” that promotes creativity based on core values like honesty, integrity, and team-spirit. Who knew the world of pharmaceutical research could be such a warm and fuzzy place?
And let’s not forget about Prof. Jens Kreisel, the Rector of the University of Luxembourg, who reminds us all that this is no small feat. “Building links between fundamental science, high performance computing, and major industry players in order to make a lasting impact for the future of health is no small feat,” he says. We couldn’t agree more, Prof. Kreisel.
So there you have it, folks. The world of pharmaceutical research is making leaps and bounds with its computational methods and fancy high performance computing. Who needs test tubes and lab coats when you have computers that can predict the future? It’s like magic, only with molecules and stuff. The future is here, and it’s looking bright!
