Data‐Driven Materials Innovation and Applications
Owing to the rapid developments to improve the accuracy and efficiency of both
experimental and computational investigative methodologies, the massive amounts of data …
experimental and computational investigative methodologies, the massive amounts of data …
Hierarchical materials from high information content macromolecular building blocks: construction, dynamic interventions, and prediction
Hierarchical materials that exhibit order over multiple length scales are ubiquitous in nature.
Because hierarchy gives rise to unique properties and functions, many have sought …
Because hierarchy gives rise to unique properties and functions, many have sought …
[HTML][HTML] Learning deep neural networks' architectures using differential evolution. Case study: medical imaging processing
S Belciug - Computers in biology and medicine, 2022 - Elsevier
The COVID-19 pandemic has changed the way we practice medicine. Cancer patient and
obstetric care landscapes have been distorted. Delaying cancer diagnosis or maternal-fetal …
obstetric care landscapes have been distorted. Delaying cancer diagnosis or maternal-fetal …
Deep reinforcement learning empowers automated inverse design and optimization of photonic crystals for nanoscale laser cavities
Photonics inverse design relies on human experts to search for a design topology that
satisfies certain optical specifications with their experience and intuitions, which is relatively …
satisfies certain optical specifications with their experience and intuitions, which is relatively …
Inverse design of a pyrochlore lattice of DNA origami through model-driven experiments
Sophisticated statistical mechanics approaches and human intuition have demonstrated the
possibility of self-assembling complex lattices or finite-size constructs. However, attempts so …
possibility of self-assembling complex lattices or finite-size constructs. However, attempts so …
Mechanisms of Biomolecular Self‐Assembly Investigated Through In Situ Observations of Structures and Dynamics
Biomolecular self‐assembly of hierarchical materials is a precise and adaptable bottom‐up
approach to synthesizing across scales with considerable energy, health, environment …
approach to synthesizing across scales with considerable energy, health, environment …
Learning protocols for the fast and efficient control of active matter
Exact analytic calculation shows that optimal control protocols for passive molecular systems
often involve rapid variations and discontinuities. However, similar analytic baselines are not …
often involve rapid variations and discontinuities. However, similar analytic baselines are not …
Toward the golden age of materials informatics: perspective and opportunities
Materials informatics is reaching the transition point and is evolving from its early stages of
adoption and development and moving toward its golden age. Here, the transformation of …
adoption and development and moving toward its golden age. Here, the transformation of …
A simple solution to the problem of self-assembling cubic diamond crystals
The self-assembly of colloidal diamond (CD) crystals is considered as one of the most
coveted goals of nanotechnology, both from the technological and fundamental points of …
coveted goals of nanotechnology, both from the technological and fundamental points of …
Optimal control of nonequilibrium systems through automatic differentiation
Controlling the evolution of nonequilibrium systems to minimize dissipated heat or work is a
key goal for designing nanodevices, in both nanotechnology and biology. Progress in …
key goal for designing nanodevices, in both nanotechnology and biology. Progress in …