Computational biologist Christina Leslie, Ph.D., has spent nearly two decades at Memorial Sloan Kettering Cancer Center (MSK) ...

A computational method for finding transition states in chemical reactions, greatly reducing computational costs with high reliability, has been devised. Compared to the most widely used existing ...

New theoretical physics research introduces a simulation method of machine-learning-based effective Hamiltonian for super-large-scale atomic structures. This effective Hamiltonian method could ...

Clinical scientists are often overwhelmed by the complexity of large datasets and the challenges of integrating many types of data within hypothesis-testing frameworks in the pursuit of deep insights ...

Although much of its discovery process is descriptive and qualitative, chemistry is fundamentally a quantitative science. It serves a wide range of human needs, activities, and concerns. The ...

Researchers from the California Institute of Technology (Caltech) and Yale University have developed a computational method ...

Dr. Blumenfeld's clinical and research work focuses on epilepsy, cognition and brain imaging. He directs Yale's Clinical Neuroscience Imaging Center (CNIC), a new multi-disciplinary core facility for ...

Collaboration between Siemens and NVIDIA delivers up to 12x acceleration for full-chip optical proximity correction (OPC) ...

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

With the increasing availability of data and the improved understanding of system-level interactions in biological systems, computational methods have found many applications in biology and medicine.