Molecular kinetic modeling in petroleum processing represents a critical advancement in understanding the intricate reaction mechanisms at the molecular level, thereby enhancing process optimisation ...

Researchers at Rice University and Oak Ridge National Laboratory have unveiled a physics-based model of magnetic resonance relaxation that bridges molecular-scale dynamics with macroscopic magnetic ...

The choreographed movements that cells perform to form complex biological shapes, like our hands, have fascinated scientists ...

Researchers from the Massachusetts Institute of Technology (MIT) Jameel Clinic for Machine Learning in Health have announced the open-source release of Boltz-2, which now predicts molecular binding ...

The prestigious award is presented to AIChE members who have made an outstanding contribution to chemical engineering literature. Kofke, also the Walter E. Schmid Chair, is honored for his research on ...

COSMIC (molecular conformation space modeling in internal coordinates) can provide important insights into the 3D positioning and activity of molecules to help drive decisions about drug design. While ...

A University of Massachusetts Amherst team has made a major advance toward modeling and understanding how intrinsically disordered proteins (IDPs) undergo spontaneous phase separation, an important ...

Genesis and NVIDIA collaboration is accelerating Pearl training and inference, including NVIDIA cuEquivariance kernels to enable deployment at industrial scale Pearl is being actively deployed in ...

Polycyclic aromatic hydrocarbons (PAHs) are important carriers of organic matter throughout the universe. As organic ...

Molecular lesion data in LR-MDS prognostic models reduce the significance of traditional parameters like bone marrow blast percentage. Molecular data altered risk stratification for 30% of patients, ...