Recent Additions: New and Updated Entries in the Past 60 Days
Displaying entries 61 through 66 of 66 found.

Earth Earns: An Open Participatory Earthropocene to Ecosmocene CoCreativity

Gebhart, Valentin, et al. Learning Quantum Systems. arXiv:2207.00298. We cite this paper by ten theorists posted in Austria, France, Italy, the UK, and Germany as a 2020s example of this welling revolution as this long arcane realm now becomes open for public development. See also Building a Quantum-ready Ecosystem by Abhishek, et al Purohit at arXiv:2304.06843 for another avocation. Altogether in accord with the Quantum Organics section above, these entries strongly attest to a whole scale synthesis of a human and universe cocreativit, going forward.

The future development of quantum technologies relies on facilitating system complexities with key applications in computation, simulation and sensing. But this task need deal with efficient control, calibration and validation of dynamic quantum states whereof classical methods still play an important role. Here, we review approaches that use classical post-processing techniques, along with adaptive optimization, to better study quantum correlation properties and environmental interactions. We discuss theoretical proposals and successful implementations across different multiple-qubit architectures such as spin qubits, trapped ions, photonic and atomic systems, and superconducting circuits. (2207.00298)

The emergence of quantum technologies has led to major advancements in computing, sensing, secure communications, and simulation of advanced materials with practical applications. In this paper, we present the current status of quantum technologies and the need for such a quantum-ready ecosystem. We introduce Quantum Technology Readiness Levels guidelines about specific quantum technology frontiers. We also discuss indicators for government, industry, and academia stakeholders, along with ethics and protocols of the readiness for beneficial achievements. (2304.06843)

Ni, Xiang, et al. Topological Metamaterials. arXiv:2211.10006. We cite this entry by CCNY Photonics Initiative and Florida International University researchers among much current work as an example as the global mind over matter frontier opens for cocreative business.

Recent physics findings that materials with non-trivial topological properties for electronic, electromagnetic, acoustic and mechanical usages can be designed and made through engineered metamaterials (MMs). We review these state-of-the-art advances and discuss how topological MMs enable novel wave phenomena for a broad range of interdisciplinary sciences such as classical and quantum chemistry. This survey aims at basing this progress associated with topological concepts, and highlight opportunities going forward offered by these geometric facilities for the chemistry community at large. (Excerpt)

Peplow, Mark. Skeleton Crew. Nature. 618/21, 2023. A science writer extols recent novel abilities to manipulate, insert, delete or swap single atoms core molecular structures. It opens with the empirical work of Mark Levin at the University of Chicago, which along with other labs is being dubbed (almost magical) “skeletal editing.” (A reader might notice an evident, common similarity with genetic CRISPR editorial methods.) The article goes on to select chemical reactions for better medicines with graphic examples. In our website context, here is a dramatic instance of our collective Earthumanity beginning to take up and over a new ecosmic mind/matter cocreation.

Raabe, Dierk, et al. Accelerating the design of compositionally complex materials via physics-informed artificial intelligence.. Nature Computational Science. Narch, 2023. MPI Institute for Iron Research members post a thorough, illustrated survey of many ways that the latest AI machine learning capabilities can initiate and foster a new worldwise phase of radical cocreative advances. A further novel attribute is a substantial basis arising from the field of condensed matter physics. Sections include Physics-based modeling of descriptors, AI for Compositionally Complex Materials, Hybrid Methods and Active Learning in Materials Science image whence a human being sits at the center of past stochastic and future intentional planetary and multiversal contributions going forward.

In more regard, we cite this new Nature publication as it joins with Nature Materials, so as to recognize and communicate an on-going advent of these capabilities. See, for example, Evolving scattering networks for engineering disorder by Yu Sunkyu and Evolving Wave Networks for Materials Design by Jiao Yang in NCS for February 2023, along with a Guiding Element Mixing editorial. See then the April issue of Nature Materials for a Complex Element Coupling Expands Materials Capabilities companion edition.

The chemical space for designing materials is practically infinite. This makes disruptive progress by traditional physics-based modeling alone challenging. Yet, training data for identifying composition–structure–property relations by artificial intelligence are sparse. We discuss opportunities to discover new chemically complex materials by hybrid methods where physics laws are combined with artificial intelligence. (Raabe)

Complex element combinations increase the variety of microstructural features and facilitate property manipulation for materials design. This joint Focus between Nature Materials and Nature Computational Science highlights recent developments in the field and brings together experts' opinions on the opportunities in both computational methods and experimental approaches for complex element coupling. (NM, April 2023)

Stojkoski, Viktor, et al. Multidimensional Economic Complexity and Inclusive Green Growth. Communications Earth & Environment. 4/130, 2023. Center for Collective Learning, University of Toulouse, including Cesar Hildago (search) make note that present endeavors are not able to consider active trade data so fall short, e.g. income inequalities. Their work results in an animate geography of commerce, sensitive technologies and sustainable studies. A special validity is achieved by a deliberate intentional facility of a group intelligence.

The Center for Collective Learning is an interdisciplinary laboratory working on economic complexity, the ethics of artificial intelligence, and digital democracy. The CCL is composed of a highly motivated team of scientists, scholars, and entrepreneurs based at the Artificial and Natural Intelligence Institute (ANITI) of the University of Toulouse and at the Corvinus Institute of Advanced Studies (CIAS) in Budapest.

Zelenski, John, et al. Nature Connection: Providing a Pathway from Personal to Planetary Health. Challenges. 14/1, 2023. We note this extensive, luminous contribution by a five person team in Canada, the USA and Australia including Susan Prescott as a visionary description of a sustainable, sensitive Earthropocene era going forward. See also The Cooperative Spirit of Nature in the Kalevala Creation Myth by Christina Gant and Project Earthrise: Inspiring Creativity, Kindness and Imagination in Planetary Health by Alan Logan, et al, in this MDPI journal.

The critical condition of human health and all Earth life require urgent, deep changes in the way we live. Many global perils of biodiversity loss, climate change, personal and social welfare cannot be healed without curing selfishness, greed, apathy, and the economics that created them. Calls for spiritual and cultural transformations recognize that “inner” development is as vital for sustainable “outward” transitions. Here we draw from the Nova Network planetary health community for nature-based solutions with a more relational mindset. (Excerpt)

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