{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T18:33:41Z","timestamp":1781030021169,"version":"3.54.1"},"reference-count":59,"publisher":"American Association for the Advancement of Science (AAAS)","issue":"49","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sci. Adv."],"published-print":{"date-parts":[[2022,12,9]]},"abstract":"<jats:p>\n            The building block of in-memory computing with spintronic devices is mainly based on the magnetic tunnel junction with perpendicular interfacial anisotropy (p-MTJ). The resulting asymmetric write and readout operations impose challenges in downscaling and direct cascadability of p-MTJ devices. Here, we propose that a previously unimplemented  symmetric write and readout mechanism can be realized in perpendicular-anisotropy spin-orbit (PASO) quantum materials based on Fe\n            <jats:sub>3<\/jats:sub>\n            GeTe\n            <jats:sub>2<\/jats:sub>\n            and WTe\n            <jats:sub>2<\/jats:sub>\n            . We demonstrate that field-free and deterministic reversal of the perpendicular magnetization can be achieved using unconventional charge\u2013to\u2013\n            <jats:italic>z<\/jats:italic>\n            -spin conversion. The resulting magnetic state can be readily probed with its intrinsic inverse process, i.e.,\n            <jats:italic>z<\/jats:italic>\n            -spin\u2013to\u2013charge conversion. Using the PASO quantum material as a fundamental building block, we implement the functionally complete set of logic-in-memory operations and a more complex nonvolatile half-adder logic function. Our work highlights the potential of PASO quantum materials for the development of scalable energy-efficient and ultrafast spintronic computing.\n          <\/jats:p>","DOI":"10.1126\/sciadv.abq6833","type":"journal-article","created":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T18:58:20Z","timestamp":1670612300000},"source":"Crossref","is-referenced-by-count":35,"title":["Cascadable in-memory computing based on symmetric writing and readout"],"prefix":"10.1126","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4054-3101","authenticated-orcid":true,"given":"Lizheng","family":"Wang","sequence":"first","affiliation":[{"name":"National Laboratory of Solid State Microstructures, Institute of Brain-Inspired Intelligence, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, 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