Results 51 to 60 of about 3,180 (259)
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Complex microarchitectures emerge from simple flow‐driven transformations as static mixers iteratively reorient and split material domains. Coupled with diverse deposition strategies, chaotic printing provides an accessible platform for fabricating architected materials that support biologically and chemically relevant processes. ABSTRACT Nature builds
Edna Johana Bolívar‐Monsalve +7 more
wiley +1 more source
Three-loop contributions to b → sγ associated with the current-current operators
In a recent work, we calculated all three-loop diagrams contributing to the decay amplitude for b → sγ where none of the gluons touch the b-leg. In the present paper, we complete the calculation by working out all remaining three-loop diagrams (of order ...
Christoph Greub +4 more
doaj +1 more source
An antiferroelectric tunnel junction serves as a reservoir computing node, where field‐induced phase transitions and spontaneous ZrO2 relaxation deliver nonlinear fading memory. An In‐Ga‐Zn oxide interlayer enlarges the memory margin and multibit state richness.
Taegyu Kwon +13 more
wiley +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Sustainable Productivity Growth in Agriculture: The Role of Shifts in R&D Investments and Technology
ABSTRACT The objective of the paper is to evaluate the long‐term prospects of sustainable productivity growth linked to plausible assumptions on public agricultural R&D investments as the key productivity driver. Second, it investigates the role of changing R&D focus from yield maximization to input saving technologies (fertilizers and pesticides). The
Zuzana Smeets Křístková +4 more
wiley +1 more source
ABSTRACT In recent decades, agriculture has become increasingly concentrated through horizontal mergers and acquisitions via corporate entities, and policy makers are concerned this will be exacerbated by the aging population of farm operators. To reduce market concentration in agriculture, many states have enacted policies to entice new prospective ...
Justin M. Ross +2 more
wiley +1 more source
Singular perturbation for nonlinear boundary-value problems
Asymptotic solutions of a class of nonlinear boundary-value problems are studied. The problem is a model arising in nuclear energy distribution. For large values of the parameter, the differential equations are of the singular-perturbation type and ...
Rina Ling
doaj +1 more source
Asymptotics of approximation of functions by conjugate Poisson integrals
Among the actual problems of the theory of approximation of functions one should highlight a wide range of extremal problems, in particular, studying the approximation of functional classes by various linear methods of summation of the Fourier series. In
I.V. Kal'chuk +2 more
doaj +1 more source
Delaying the Inevitable? U.S. Screwworm Closures and Feeder Cattle Market Dynamics
ABSTRACT Biosecurity trade restrictions are commonly framed as preventive measures, yet in many settings they function primarily as policies of delay: they impose immediate market costs while only postponing the arrival of biological risks. This paper evaluates that intertemporal tradeoff using the 2024–2025 US suspension of live cattle imports from ...
Shelby Sumner +3 more
wiley +1 more source

