How the proteins in our bodies bind together to form protein complexes plays a critical role in numerous cell ...

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 ...

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 ...

Many modern technological challenges crucially depend on the properties of surfaces and interfaces. This includes the control of charge and energy transfer across electrode/electrolyte interfaces in ...

If you have a deep-seated, nagging worry over dropping your phone in molten lava, you're in luck. Materials scientists have developed a method for rapidly discovering a new class of materials with ...

Machine learning and computational methods can accelerate materials discovery by accurately predicting material properties at low cost. Nevertheless, input data to algorithms and structure model ...

A new computational method extracts electronic band structures from finite, imperfect, and curved nanomaterials, linking nano ...

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 ...

Systems biology is a rapidly evolving discipline that examines the complex interactions underlying biological function ...

Numerical simulations in physics often require estimating a multitude of parameters, making the process computationally expensive and complex. Researchers at University of Tsukuba have introduced a ...

Through an interdisciplinary programme of lectures, this course provides students, young researchers, and young professionals with critical skills and tools in areas such as mathematical techniques ...