Results 191 to 200 of about 8,352,481 (299)
Mathematical models and computational approaches in CAR-T therapeutics. [PDF]
Putignano G +4 more
europepmc +1 more source
Computation‐Less, Bias‐Free, and Ultra‐Broadband Photodetector for On‐Chip Edge Extraction
A computation‐less, bias‐free, and ultra‐broadband photodetector directly converts local optical‐intensity gradients into signed photocurrents through a position‐dependent bi‐directional photoresponse. This intrinsic physical sensing mechanism enables single‐pixel edge extraction from the near‐infrared to the long‐wave infrared at room temperature ...
Jintao Fu +8 more
wiley +1 more source
Investigating local negative feedback of Rac activity by mathematical models and cell-motility simulations. [PDF]
Algorta J +3 more
europepmc +1 more source
Environmental Synthesis Radar (ESR) evaluates the environmental impact of (early‐stage) multi‐step chemical syntheses, providing a holistic view by using 18 midpoint impact categories. Unlike conventional life‐cycle assessment (LCA) approaches, ESR reveals three complementary metrics: overall impact Vtotal, environmental hotspots VEF, and critical ...
Laura Plein +8 more
wiley +1 more source
Correction: Mathematical models and computational approaches in CAR-T therapeutics. [PDF]
Putignano G +4 more
europepmc +1 more source
Elasticity‐Driven Periodic Polarization Patterns in a Chiral Ferroelectric Nematic Fluid
Chiral polar ferroelectric nematic fluids exhibit spontaneous formation of stripe, square, and hexagonal polarization textures under confinement. Controlled by thickness and anchoring, these patterns produce spatially modulated nonlinear optical responses.
Anej Sterle +11 more
wiley +1 more source
IonBench: A benchmark of optimisation strategies for mathematical models of ion channel currents. [PDF]
Owen MJ, Mirams GR.
europepmc +2 more sources
Frame-based mathematical models - a tool for the study of molecular genetic systems. [PDF]
Kazantsev FV, Lashin SA, Matushkin YG.
europepmc +1 more source
Inverse Design of Nanoparticulate Materials
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré +5 more
wiley +1 more source

